The human head model is constructed with the help of the High Frequency Structure Simulator (HFSS) software in this paper. The distributions of the specific absorption rate (SAR) in the human head are studied, and then, the influence of the head model dimensions and electrical parameters are discussed. The results show that the absorption of the electromagnetic radiation in the human head is mainly concentrated on the skin and brain tissue, the skull layer absorption is very little. The SAR in the skull and brain tissue increases along with the decreases of the model dimensions. The SAR in the skin increases along with the increase of the electrical parameters. The trends of SAR are more obvious when the head dimensions and electrical parameters were changed at the same time.
{"title":"The effects of head parameters on the specific absorption rate in the human head","authors":"Changqi Zhu, Dongsheng Wu, Lanlan Ping, Wenli Liang","doi":"10.1109/BMEI.2015.7401542","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401542","url":null,"abstract":"The human head model is constructed with the help of the High Frequency Structure Simulator (HFSS) software in this paper. The distributions of the specific absorption rate (SAR) in the human head are studied, and then, the influence of the head model dimensions and electrical parameters are discussed. The results show that the absorption of the electromagnetic radiation in the human head is mainly concentrated on the skin and brain tissue, the skull layer absorption is very little. The SAR in the skull and brain tissue increases along with the decreases of the model dimensions. The SAR in the skin increases along with the increase of the electrical parameters. The trends of SAR are more obvious when the head dimensions and electrical parameters were changed at the same time.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123050311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401619
Fanghua Yan, Guoqiang Liu, Yayu Zheng
With the rapid development of Internet, web information is being more and more colorful. However, mixed color information makes people with low vision see webpage unclearly when they surf the Internet. For people with low vision cannot distinguish so many colors, enhancing the contrast between text or image and background is considered as the most effective way to improve this situation. Based on people with low vision's perception of difference between different colors, this paper designs a webpage discoloration algorithm based on HTML5. The algorithm produces a visual effect by adjusting the text and background colors, as well as the colors in images to the range that people with low vision can identify. Text discoloration is completed by adjusting the text style properties. OTSU algorithm based on block segmentation algorithm implements image discoloration, through the way of pixel point to point, applies look-up table method to transform color of the original image into a typical color. The result shows that the algorithm is able to realize webpage discoloration effects, enhance the contrast of the webpage and better meet the needs of people with low vision browsing webpage.
{"title":"An HTML5 based discoloration algorithm for people with low vision","authors":"Fanghua Yan, Guoqiang Liu, Yayu Zheng","doi":"10.1109/BMEI.2015.7401619","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401619","url":null,"abstract":"With the rapid development of Internet, web information is being more and more colorful. However, mixed color information makes people with low vision see webpage unclearly when they surf the Internet. For people with low vision cannot distinguish so many colors, enhancing the contrast between text or image and background is considered as the most effective way to improve this situation. Based on people with low vision's perception of difference between different colors, this paper designs a webpage discoloration algorithm based on HTML5. The algorithm produces a visual effect by adjusting the text and background colors, as well as the colors in images to the range that people with low vision can identify. Text discoloration is completed by adjusting the text style properties. OTSU algorithm based on block segmentation algorithm implements image discoloration, through the way of pixel point to point, applies look-up table method to transform color of the original image into a typical color. The result shows that the algorithm is able to realize webpage discoloration effects, enhance the contrast of the webpage and better meet the needs of people with low vision browsing webpage.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116632454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401469
Wei Guo, Yuanyuan Wang, Jinhua Yu
Speckle noise is a phenomenon inherent in any coherent imaging system and decreases the signal-to-noise ratio (SNR), which brings down the imaging quality. Speckle noise reduction is particularly important in the tissue harmonic imaging (THI) since it has the lower energy and the poorer SNR than the fundamental imaging (FI). Speckle can be reduced by frequency compounding (FC), which means incoherently averaging the images with different speckle patterns acquired by changing the center frequency of the pulse. As for the THI, the difference in the emission spectrum doubles when using the FC. In this paper, we propose an interlaced iterative frequency compounding (IIFC) method with the pulse inversion (PI) technique. The new method brings a good speckle suppression performance while the high frame rate is retained. To illustrate the performance of our method, experiments have been conducted on the simulated data. A nonlinear simulation platform based on the full-wave model is used in the harmonic imaging simulation. Results show that our method brings the SNR an improvement of up to 22% in comparison with the single frame THI while maintaining a far better performance in both terms of resolution and contrast than the FI. We also demonstrate that our method for THI retains the high frame rate although using PI.
{"title":"Ultrasound harmonic imaging with reducing speckle noise by an interlaced iterative frequency compounding approach","authors":"Wei Guo, Yuanyuan Wang, Jinhua Yu","doi":"10.1109/BMEI.2015.7401469","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401469","url":null,"abstract":"Speckle noise is a phenomenon inherent in any coherent imaging system and decreases the signal-to-noise ratio (SNR), which brings down the imaging quality. Speckle noise reduction is particularly important in the tissue harmonic imaging (THI) since it has the lower energy and the poorer SNR than the fundamental imaging (FI). Speckle can be reduced by frequency compounding (FC), which means incoherently averaging the images with different speckle patterns acquired by changing the center frequency of the pulse. As for the THI, the difference in the emission spectrum doubles when using the FC. In this paper, we propose an interlaced iterative frequency compounding (IIFC) method with the pulse inversion (PI) technique. The new method brings a good speckle suppression performance while the high frame rate is retained. To illustrate the performance of our method, experiments have been conducted on the simulated data. A nonlinear simulation platform based on the full-wave model is used in the harmonic imaging simulation. Results show that our method brings the SNR an improvement of up to 22% in comparison with the single frame THI while maintaining a far better performance in both terms of resolution and contrast than the FI. We also demonstrate that our method for THI retains the high frame rate although using PI.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121807364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401479
Yanzhi Ding, I. Park, X. Cui, Van Huan Nguyen, Hakil Kim, T. Do, Wei Li
This paper proposes an inter-level and intra-level deconvolution based image deblurring algorithm (ILILD) for microscopic images. Pyramid structure is used, and inter-level deconvolution is applied to estimate latent image from coarse level to fine level. The inter-level algorithm is based on total variation regularized Richardson-Lucy scheme, which can estimate latent image with artifacts suppressed. After inter-level deconvolution, intra-level deconvolution is applied. In each pyramid level of image, the residual deconvolution is done as the intra-level deconvolution scheme to recover image edges and details furtherly. Experiments show that ILILD algorithm can estimate latent images in less time and the results have better peak signal to noise ratio, higher image entropies and few artifacts.
{"title":"Inter-level and intra-level deconvolution based image deblurring algorithm for wide field microscopy","authors":"Yanzhi Ding, I. Park, X. Cui, Van Huan Nguyen, Hakil Kim, T. Do, Wei Li","doi":"10.1109/BMEI.2015.7401479","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401479","url":null,"abstract":"This paper proposes an inter-level and intra-level deconvolution based image deblurring algorithm (ILILD) for microscopic images. Pyramid structure is used, and inter-level deconvolution is applied to estimate latent image from coarse level to fine level. The inter-level algorithm is based on total variation regularized Richardson-Lucy scheme, which can estimate latent image with artifacts suppressed. After inter-level deconvolution, intra-level deconvolution is applied. In each pyramid level of image, the residual deconvolution is done as the intra-level deconvolution scheme to recover image edges and details furtherly. Experiments show that ILILD algorithm can estimate latent images in less time and the results have better peak signal to noise ratio, higher image entropies and few artifacts.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401463
Juan Du, Qinghua Huang, P. Ye, Xueli Mao
This paper introduces a new scanning system which collects structural information of tooth surface and enamel-dentine junction. A 3D motorized scanning stage is used to control the moving trajectories of an A-mode transducer so as to acquire the echoes from the surface of a tooth. The enamel in a 3D form will be reconstructed with this system. Despite some discontinuous areas appearing in the 3D image, the 3D representations of human molars well duplicate the real samples and the thickness of enamel can be measured.
{"title":"3D reconstruction of human enamel Ex vivo using high frequency ultrasound","authors":"Juan Du, Qinghua Huang, P. Ye, Xueli Mao","doi":"10.1109/BMEI.2015.7401463","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401463","url":null,"abstract":"This paper introduces a new scanning system which collects structural information of tooth surface and enamel-dentine junction. A 3D motorized scanning stage is used to control the moving trajectories of an A-mode transducer so as to acquire the echoes from the surface of a tooth. The enamel in a 3D form will be reconstructed with this system. Despite some discontinuous areas appearing in the 3D image, the 3D representations of human molars well duplicate the real samples and the thickness of enamel can be measured.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114839241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401544
Tanming Cui, Jingshu Zhang
Ebola hemorrhagic fever (EBHF), caused by Ebola virus (EBOV), is a type of fatal epidemic disease with highly pathogenic rate, highly infection rate, and highly mortality rate which has reemerged in West Africa in February, 2014, leading to a catastrophe in the local and trend of spreading worldwide. In order to prevent the disease from spreading further, it is necessary to have a research of the most dangerous Zaire Ebola virus at the molecular level. Comparing to Zaire EBOV in 1976, the evolution result of the virus in 2014 can instruct people to take steps and have the proper precaution program. The comparison and phylogenic tree methods are able to reveal the degree of the evolution whose processing is conservative at present. With the help of ClustalX, the amount of mutations in different parts of Zaire EBOV nucleotide sequences can be analyzed. Only 3% bases changed in the sequences of 2014. Phylogenic tree can reflect the relationship of the sequences in diverse years, and they are homology. Combining the changes of base with corresponding amino acid, the conservation of the virus can be demonstrated again. It's significant to have a continuous concern of the Zaire virus, as it may have potential evolution.
{"title":"Bioinformatics analysis of Zaire Ebola virus evolution","authors":"Tanming Cui, Jingshu Zhang","doi":"10.1109/BMEI.2015.7401544","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401544","url":null,"abstract":"Ebola hemorrhagic fever (EBHF), caused by Ebola virus (EBOV), is a type of fatal epidemic disease with highly pathogenic rate, highly infection rate, and highly mortality rate which has reemerged in West Africa in February, 2014, leading to a catastrophe in the local and trend of spreading worldwide. In order to prevent the disease from spreading further, it is necessary to have a research of the most dangerous Zaire Ebola virus at the molecular level. Comparing to Zaire EBOV in 1976, the evolution result of the virus in 2014 can instruct people to take steps and have the proper precaution program. The comparison and phylogenic tree methods are able to reveal the degree of the evolution whose processing is conservative at present. With the help of ClustalX, the amount of mutations in different parts of Zaire EBOV nucleotide sequences can be analyzed. Only 3% bases changed in the sequences of 2014. Phylogenic tree can reflect the relationship of the sequences in diverse years, and they are homology. Combining the changes of base with corresponding amino acid, the conservation of the virus can be demonstrated again. It's significant to have a continuous concern of the Zaire virus, as it may have potential evolution.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116543659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401483
Yuxi Lian, Yuanyuan Wang, Jinhua Yu, Yi Guo, Liang Chen
Digital subtraction angiography (DSA) plays an important role in the diagnosis and therapy of vascular diseases. Segmentation of nidus and vessel in DSA images is an essential step in the diagnosis of arteriovenous malformations (AVM). In this paper, a novel segmentation method based on the global and iterative local thresholding is proposed to segment the nidus and vessel in DSA images. Firstly, the original image is divided into proper subimages. For each subimage, Ostu's method is primarily used and pixels are classified into two groups by the threshold. Then, according to the variance of the subimage intensities, the mean or median values of two groups are calculated to sort the pixels into three classes. These three classes represent the dark AVM and vessel, the bright background and undetermined regions in the original DSA image. The first two classes are determined directly and will not be processed further. The undetermined regions are processed in the next iteration to segment tiny vessels until the thresholds between two iterations are less than a preset one. Finally, all classes are combined to create the segmentation result. We test this method on DSA images of the AVM. Experimental results show that the proposed method performs better than the other state-of-the-art methods in the segmentation of DSA images. The proposed method can identify fine and tiny vessel structures, as well as distinguish large AVM nidus in one framework.
{"title":"Segmentation of arteriovenous malformations nidus and vessel in digital subtraction angiography images based on an iterative thresholding method","authors":"Yuxi Lian, Yuanyuan Wang, Jinhua Yu, Yi Guo, Liang Chen","doi":"10.1109/BMEI.2015.7401483","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401483","url":null,"abstract":"Digital subtraction angiography (DSA) plays an important role in the diagnosis and therapy of vascular diseases. Segmentation of nidus and vessel in DSA images is an essential step in the diagnosis of arteriovenous malformations (AVM). In this paper, a novel segmentation method based on the global and iterative local thresholding is proposed to segment the nidus and vessel in DSA images. Firstly, the original image is divided into proper subimages. For each subimage, Ostu's method is primarily used and pixels are classified into two groups by the threshold. Then, according to the variance of the subimage intensities, the mean or median values of two groups are calculated to sort the pixels into three classes. These three classes represent the dark AVM and vessel, the bright background and undetermined regions in the original DSA image. The first two classes are determined directly and will not be processed further. The undetermined regions are processed in the next iteration to segment tiny vessels until the thresholds between two iterations are less than a preset one. Finally, all classes are combined to create the segmentation result. We test this method on DSA images of the AVM. Experimental results show that the proposed method performs better than the other state-of-the-art methods in the segmentation of DSA images. The proposed method can identify fine and tiny vessel structures, as well as distinguish large AVM nidus in one framework.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115788364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401620
Meng Li, Meijian Zhang, Hongwei Sun
This paper considers the regularized learning schemes based on ℓ1-regularizer and the ε-insensitive pinball loss in a data dependent hypothesis space. The target is the error analysis for the conditional quantile regression learning. Except for continuity and boundedness, the kernel function is not necessary to satisfy any further regularity conditions. The data dependent nature of the algorithm leads to an extra error term called hypothesis error. By concentration inequality with ℓ2-empirical covering numbers and operator decomposition techniques, satisfied error bounds and convergence rates are explicitly derived.
{"title":"Conditional quantile regression with ℓ1-regularization and e-insensitive pinball loss","authors":"Meng Li, Meijian Zhang, Hongwei Sun","doi":"10.1109/BMEI.2015.7401620","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401620","url":null,"abstract":"This paper considers the regularized learning schemes based on ℓ1-regularizer and the ε-insensitive pinball loss in a data dependent hypothesis space. The target is the error analysis for the conditional quantile regression learning. Except for continuity and boundedness, the kernel function is not necessary to satisfy any further regularity conditions. The data dependent nature of the algorithm leads to an extra error term called hypothesis error. By concentration inequality with ℓ2-empirical covering numbers and operator decomposition techniques, satisfied error bounds and convergence rates are explicitly derived.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125945253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401569
Xiuhua Wu, Chun-Chih Huang
The paper introduced a new passive aerobic exercise bed. The bed applied ATmega series AVR single-chip microcomputer and acted Atmel Company chip-Mega16 as its core including control circuits of permanent magnet DC motor, infrared remote control circuits, LCD module, caution module, and temperature control module, and so on. The designer used the Altium Designer to design the system, simulate the results, draw the PCB boards, program the C composition according to functions of timer interruption, I/O input-output of the chip mega16 in the condition of ICCV7 for AVR. At last, the new passive aerobic exercise bed realized the precise control in various functions.
{"title":"Developing and designing of a new passive aerobic exercise bed","authors":"Xiuhua Wu, Chun-Chih Huang","doi":"10.1109/BMEI.2015.7401569","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401569","url":null,"abstract":"The paper introduced a new passive aerobic exercise bed. The bed applied ATmega series AVR single-chip microcomputer and acted Atmel Company chip-Mega16 as its core including control circuits of permanent magnet DC motor, infrared remote control circuits, LCD module, caution module, and temperature control module, and so on. The designer used the Altium Designer to design the system, simulate the results, draw the PCB boards, program the C composition according to functions of timer interruption, I/O input-output of the chip mega16 in the condition of ICCV7 for AVR. At last, the new passive aerobic exercise bed realized the precise control in various functions.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129314930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401472
Huashan Ye, G. Shang, Lina Wang, Min Zheng
Hough transform (HT) is a typical method to detect or segment geometry objects from images. In this paper, we study the principle of Hough Transform and its mathematical expressions, and try to use a new approach based on Hough transform for quick line and circle detection in image processing. Our method accurately detected some simple graphics, such as straight line of different direction, circles of different detection, thickness and different number. The results show that our method is less memory consumption and calculated fast, which could be applied for line detection and segmentation in 3D ultrasonic image.
{"title":"A new method based on hough transform for quick line and circle detection","authors":"Huashan Ye, G. Shang, Lina Wang, Min Zheng","doi":"10.1109/BMEI.2015.7401472","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401472","url":null,"abstract":"Hough transform (HT) is a typical method to detect or segment geometry objects from images. In this paper, we study the principle of Hough Transform and its mathematical expressions, and try to use a new approach based on Hough transform for quick line and circle detection in image processing. Our method accurately detected some simple graphics, such as straight line of different direction, circles of different detection, thickness and different number. The results show that our method is less memory consumption and calculated fast, which could be applied for line detection and segmentation in 3D ultrasonic image.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124807896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：